Latin America and the Caribbean Standardized Public Debt Database: Data as of June 2022
Metadata & use
| Identifier | https://doi.org/10.60966/dt6q-s696 |
|---|---|
| License | Creative Commons Attribution 4.0 International |
| Citation |
Latin American and Caribbean Public Debt Management Specialists Group (2023). Latin America and the Caribbean Standardized Public Debt Database: Data as of June 2022. IDB Open Data. https://doi.org/10.60966/dt6q-s696 |
| Published date | 2023-01-09 |
| Modified date | 2026-07-15 |
| Tags/Keywords | Debt · Debt Management · Financial Markets · Public Debt · Sovereign Debt |
| Language |
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| In Series | Latin America and the Caribbean Standardized Public Debt Databases |
| Temporal coverage | 2006-2022 |
| Country |
Argentina
Bahamas
Barbados
Belize
Bolivia
Brazil
Chile
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Guatemala
Guyana
Haiti
Honduras
Jamaica
Mexico
Nicaragua
Panama
Paraguay
Peru
Suriname
Trinidad & Tobago
Uruguay
Venezuela
|
| Region | Latin America and the Caribbean |
| Publisher |
Inter-American Development Bank
|
| Author |
Latin American and Caribbean Public Debt Management Specialists Group
|
| Data collection type | Administrative Data |
| Statistical type | Panel Data |
| Data structure | Structured Data |
| Data notes |
What is this dataset?The Latin America and the Caribbean (LAC) Public Debt Database — June 2022 Edition compiles standardized and comparable data on sovereign debt across 26 countries in the region. What is the purpose of this database?The LAC Debt Group launched this initiative to strengthen regional fiscal policy and debt management through consistent, comparable, and transparent data. What time period does the dataset cover?The dataset includes biannual data from 2006 through June 2022, providing a 16-year historical view of public debt trends across the region. What information does the dataset include?The database includes detailed indicators classified by:
- Legislation: Domestic or external debt Each record corresponds to official data reported by a country’s Debt Management Office (DMO). Which countries are included?The 2022 I Public Debt Database covers 26 countries in Latin America and the Caribbean: Latin America: Caribbean: How is the data collected and standardized?Each participating Debt Management Office reports sovereign debt information using a standardized questionnaire designed by the LAC Debt Group. Where can I find other editions of the Public Debt Database?The LAC Debt Group’s Public Debt Database is released biannually, providing comparable and standardized data on sovereign debt across Latin America and the Caribbean. Below are links to all available editions on the IDB Open Data Portal:
Each release maintains a consistent structure, methodology, and variable definitions, ensuring comparability across editions. What are the dataset’s main uses?The public debt database supports:
- Analysis of Latin America government debt (2022) by type, currency, and maturity What are the dataset’s limitations?
What supporting materials are included?The dataset package includes: Does the database provide national debt statistics by country?Yes. This IDB dataset provides country-level sovereign debt data for 26 LAC nations, disaggregated by legislation (internal vs. external) and creditor type, and by maturity. How is public debt calculated for international databases?In this dataset, debt is standardized using definitions agreed upon by the LAC Debt Group. It distinguishes among gross debt of central governments, gross debt of central banks, and total public debt. How relevant are the public debt databases for emerging markets and developing economies?Yes. This IDB dataset is a key source for emerging markets in Latin America and the Caribbean. How suitable are the public debt databases for academic research and citations?This IDB dataset is designed for comparability and transparency, making it suitable for academic research on sovereign debt in LAC. Are these free public debt data sources accessible to financial journalists?Yes. The dataset is open access via the IDB Open Data Catalog. |